Caura FAQ

What is Caura?

Caura is the identity + persistent semantic memory + emotional intelligence layer for AI. It converts disposable chats into continuous relationships across devices and channels.

Think of it as giving your AI a "hippocampus" — the part of the brain that forms and retrieves long-term memories.

Does Caura work with OpenAI, Claude, and Gemini?

Yes — Caura is model-agnostic. Integrate via SDK, REST API, or MCP with:

• OpenAI (GPT-4, GPT-3.5)
• Anthropic Claude
• Google Gemini
• Llama, Mistral, and custom models

Use your existing LLM provider — Caura adds the memory layer on top.

What about privacy and compliance?

Caura uses a privacy-first architecture:

• Encryption in transit and at rest
• Consent-first memory controls
• GDPR/CCPA aligned practices
• User-controlled data export and deletion
• On-premise deployment options for enterprises

Users maintain full control over what gets remembered and what gets forgotten.

What are common use cases for Caura?

Three primary use cases:

• Personal AI Assistants — Remember user preferences, goals, and emotional context across sessions
• Customer Support & CX — Persist knowledge across tickets, agents, and channels
• Enterprise Copilots — Retain institutional knowledge beyond employee turnover

Any AI interaction that would benefit from continuity uses Caura.

How does Caura handle emotion?

Caura tracks emotional context, sentiment patterns, and psychological states. This enables AI that can:

• Adapt personality and tone based on user mood
• Recognize emotional triggers and patterns
• Provide empathetic, contextually appropriate responses
• Build genuine rapport over time

It's the difference between AI that merely responds and AI that truly understands.

Do I own my data?

Yes, completely. Caura users maintain full ownership and control of their data.

• Export your entire memory graph at any time
• Modify or delete specific memories
• Transfer data between providers
• Request complete data deletion

For enterprises, data stays within your infrastructure with on-premise deployment options.